Comparison of Climate Model Large Ensembles With Observations in the Arctic Using Simple Neural Networks

Comparison of Climate Model Large Ensembles With Observations in the Arctic Using Simple Neural Networks

Abstract Evaluating historical simulations from global climate models (GCMs) remains an important exercise for better understanding future projections of climate change and variability in rapidly warming regions, such as the Arctic. As an alternative approach for comparing climate models and observa...

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Bibliographic Details
Main Authors: Zachary M. Labe, Elizabeth A. Barnes
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2022-07-01
Series:Earth and Space Science
Subjects:
neural networks
climate model evaluation
climate patterns
large ensembles
explainable AI
climate change
Online Access:https://doi.org/10.1029/2022EA002348

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